In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
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Question: Thus, for this work, we build upon Hybrid Code Networks (HCN) BIBREF4 since HCNs achieve state-of-the-art performance in a data-efficient way for task-oriented dialogs, and propose AE-HCNs which extend HCNs with an autoencoder (Figure FIGREF8 ).  AE-HCN(-CNN) outperforms HCN on Test-OOD by a large margin about 17(20) points on average while keeping the minimum performance trade-off compared to Test.  
 Question: By how much does their method outperform state-of-the-art OOD detection?

Answer: AE-HCN outperforms by 17%, AE-HCN-CNN outperforms by 20% on average


Question: Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions in Bing's People Also Ask 
 Question: On which tasks do they test their conflict method?

Answer: Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions


Question: In light of this, we suggest that care is needed when applying graph embeddings in NLP pipelines, and work needed to develop robust methods to debias such embeddings. 
 Question: Do they propose any solution to debias the embeddings?

Answer:
No


